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12911571
Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud
90% of respondents would recommend this to a friend
Item #:
12911571
BHD 43
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The Deitels’ Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud offers a unique approach to teaching introductory Python programming, appropriate for both computer-science and data-science audiences.
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What Stands Out
Comprehensive Curriculum
Covers essential programming concepts and tools for AI, Big Data, and cloud computing, ensuring students gain a well-rounded understanding of contemporary data science practices and applications.
Practical Applications
Incorporates real-world examples and projects to help learners apply Python skills in computer science and data science scenarios, enhancing engagement and improving retention through hands-on learning.
AI Integration
Focuses on integrating AI techniques in programming lessons, equipping students with modern skills necessary for tackling complex data challenges in today's technology-driven landscape.
Product Details
- Groundbreaking and flexible approach to teaching introductory Python programming
- Suitable for computer science and data science audiences
- Includes real-world datasets and artificial intelligence technologies
- Modular architecture allows customization for different courses
- Aligns with latest ACM/IEEE CS curriculum initiatives
- Supported by extensive traditional supplements and Jupyter Notebooks
| Publisher | Pearson |
| Publication date | February 15, 2019 |
| Edition | 1st |
| Language | English |
| Print length | 880 pages |
| ISBN-10 | 0135404673 |
| ISBN-13 | 978-0135404676 |
| Item Weight | 2 pounds (910 grams) |
| Dimensions | 7 x 1.45 x 9.1 inches (17.8 x 3.7 x 23.1 cm) |
Who Should Buy?
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Beginners in Programming
Ideal for individuals with no prior coding experience looking to learn Python fundamentals for various applications.
-
Data Science Aspirants
Perfect for students or professionals interested in acquiring Python skills specifically for data science and big data analysis.
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AI Enthusiasts
Great for those wanting to explore artificial intelligence concepts through practical programming in Python in a structured manner.
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Advanced Programmers
Not suitable for experienced coders seeking in-depth advanced techniques or complex programming challenges.
Product Description
Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud
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Product Buying Guide
The 'Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud 1st Edition' is an innovative resource catered to introductory-level Python programming and data science courses. It offers a flexible approach suitable for both computer science and data science audiences, providing comprehensive coverage of topics and applications. The book is designed to engage students with real-world datasets and artificial-intelligence technologies, enabling them to work on projects with practical implications for various sectors.
Product Specifications
- Title: Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud 1st Edition
- Suitable for: Introductory-level Python programming and data-science courses
- Modular architecture for convenient adaptation to various computer-science and data-science courses
- Aligns with the latest ACM/IEEE CS and related computing curriculum initiatives
- Includes extensive traditional supplements as well as Jupyter Notebooks supplements
Key Features
- Comprehensive coverage of Python programming and hands-on data science
- Real-world datasets and artificial-intelligence technologies for practical project work
- Hundreds of examples, exercises, projects, and implementation case studies for engaging learning
- Modular architecture for instructor flexibility in integrating data-science and artificial-intelligence topics
- Alignment with the latest computing curriculum initiatives
Usage Scenarios
- Ideal for introductory Python programming and data-science courses
- Suitable for computer-science and data-science audiences from various majors
- Enables engaging, challenging, and entertaining introduction to Python programming and hands-on data science
- Allows instructors to adapt the text to a wide range of computer-science and data-science courses
- Supports project work with practical implications in business, industry, government, and academia
Usage Scenarios
Comparable products in the market include 'Python Crash Course' and 'Automate the Boring Stuff with Python'. However, this book stands out with its unique approach to teaching Python programming, its focus on data science applications, and its alignment with the latest computing curriculum initiatives.
Some User Review
- Users appreciate the engaging and challenging approach to learning Python and data science.
- Instructors find the modular architecture of the book highly beneficial for customizing course content.
- The real-world datasets and AI technologies have been particularly well-received by both students and educators.
Competitors
- The price of the book is competitive compared to similar resources in the market, offering value for the comprehensive coverage and practical approach it provides.
- It is advisable to explore multiple retailers to find the best deals or potential package offers with supplementary materials.
Buying Considerations
- Consider the specific requirements of the target course and audience to ensure the book's suitability.
- Instructors may explore the availability of supplementary materials and instructor resources to complement the book.
- Students may benefit from evaluating the availability of Jupyter Notebooks supplements and additional learning resources.
- Check for any ongoing promotions or discounts from reputable retailers to make the purchase more cost-effective.
Conclusion
In conclusion, the 'Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud 1st Edition' stands as a valuable resource for introductory Python programming and data science courses, offering a modern, engaging, and practical learning experience suitable for diverse audiences.
View LessThe 'Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud 1st Edition' is an innovative resource catered to introductory-level Python programming and data science courses. It offers a flexible approach suitable for both computer science and data science audiences, providing comprehensive coverage of topics and applications. The book is designed to engage students with real-world datasets and artificial-intelligence technologies, enabling them to work on projects with practical implications for various sectors. Continue Reading
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Cloud Computing Editorial Review
The book is highly recommended and worth the price. It provides a progressive and concise explanation of the subject matter. The color and print quality make the material engaging. The book is a valuable learning tool, especially when accompanied by the developer series 'Python for Programmers'. However, some customers received books with minor wear and tear, and there were issues with the delivery and packaging. Additionally, the lack of a solutions manual for self-study purposes was disappointing. The kindle version of the book had formatting issues, which may have been resolved by now.
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Pros
- Progressive and concise explanation of the subject matter
- Engaging material with good color and print quality
- Valuable learning tool, especially when accompanied by 'Python for Programmers'
Cons
- Books received with minor wear and tear
Product Price History
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Features & Benefits
- Groundbreaking, flexible approach to computer science and data science
- Current coverage of topics and applications
- Real-world datasets and artificial-intelligence technologies for engaging projects
- Modular architecture for adaptation to various courses
- Aligned with latest curriculum initiatives and proposals
- Suitable for both computer-science and data-science audiences
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